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Search Results: 1 - 10 of 401321 matches for " M. Sasikumar "
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Facial Expression Recognition from Global and a Combination of Local Features
Praseeda Lekshmi,Sasikumar M
IETE Technical Review , 2009,
Abstract: In this paper, facial expressions are identified using contour information, along with the Gabor features extracted from highly expression-reflected facial features. We propose a novel technique to extract Gabor features from a selected region of interests. The computational complexity is reduced by a suitable selection of Gabor filters for the representation of transformed face images. Support Vector Machine classification technique is used to identify the expression that belongs to the face images.
Image Fidelity Metrics: Future Directions
Navas K,Sasikumar M
IETE Technical Review , 2011,
Abstract: All multimedia signal processing algorithms need suitable fidelity metrics for validating the results. Audio, image, and video are the major signals associated with multimedia, and the researchers rely upon objective metrics rather than subjective metrics due to pragmatic and uneconomic aspects of the latter. This paper analyses the available human visual system (HVS)-based objective fidelity metrics for the image processing, and highlights the inadequacy of the metrics for a special set of images known as region-of-interest (ROI) images and discusses a few research directions in this area.
Ontology Based Approach for Finding the Similarity Among Questions in a Distributed Question Bank Scenario.
R. Ramesh,M. Sasikumar
International Journal of Computer Science & Applications , 2010,
Indian Streams Research Journal , 2012,
Abstract: This paper presents on a new high power full bridge isolated current fed dc/dc Converter with an active clamp. A proposed current fed dc/dc converter with high efficiency and voltage boosting capability is designed for use in the interface between a low voltage fuel cell source and a high voltage dc bus for inverters.ZVS scheme in all active switches is achieved for using a soft switching scheme. The switching losses and the conduction losses are reduced and the performance of the drive system should be increased from the proposed model. The proposed converter system is controlled by SPWM Technique. The simulation results are carried out and presented.
An Application Model for Pervasive Computing
Sasikumar Gurumurthy,M. Narayanamoorthy,A. Valarmozhi
Lecture Notes in Engineering and Computer Science , 2011,
Study of Image Recognition Using Cellular Associated Artificial Neural Networks
Sasikumar Gurumurthy,Balakrushna K. Tripathy,M. Priya
Lecture Notes in Engineering and Computer Science , 2011,
Indian Streams Research Journal , 2012,
Abstract: This paper deals with reducing switching loss, reducing voltage and current stresses, and reducing conduction loss due to circulation current. An isolated bidirectional full-bridge dc–dc converter with high conversion ratio, high output power, and soft start-up capability is proposed. The use of a capacitor, a diode, and a flyback converter can clamp the voltage spike caused by the current difference between the currentfed inductor and leakage inductance of the isolation transformer, and can reduce the current flowing through the active switches at the current-fed side.
Palmprint Enhancement Using Discrete Curvelet Transform
S Palanikumar,M Sasikumar,J Rajeesh
International Journal of Computer Science Issues , 2011,
Abstract: This paper presents a novel approach for enhancing palmprint image. Enhancement is a preprocessing step used to modify the contrast of the image and remove the noise. Traditional Histogram equalization techniques improve the contrast of the image but introduce spurious noise. Palmprint consists of fine features. In order to extract fine features from the palmprint image, enhancement has to be done. Fine features in the palmprint increases the accuracy of palmprint recognition. This paper provides enhancement based on curvelet which preserves the fine features without introducing noise. This method is applied for 100 test cases. Comparing with the histogram equalization techniques curvelet gives better result in the presence of noise. The experiment result shows high PSNR (Peak Signal-to-Noise Ratio ) value for the Curvelet method.
Generic antibiotic industries: Challenges and implied strategies with regulatory perspectives
Venkatesh M,Bairavi V,Sasikumar K
Journal of Pharmacy and Bioallied Sciences , 2011,
Abstract: Ever since the discovery of antibiotics, the quality of human life greatly improved in the 20 th century. The discovery of penicillin transformed the medicine industry and initiated a search for a better antibiotic every time resulting in several synthetic and semi-synthetic antibiotics. Beginning with the 1937 sulfa drug tragedy, the drug regulations had a parallel growth along with the antibiotics and the antibiotic-based generic Pharma industries. This review article is focused on the scenario depicting current global Pharma industries based on generic antibiotics. Several regulatory aspects involved with these industries have been discussed along with the complexity of the market, issues that could affect their growth, their struggle for quality, and their compliance with the tightened regulations. With the skyrocketing commercialization of antibiotics through generics and the leveraging technologic renaissance, generic industries are involved in providing maximum safer benefits for the welfare of the people, highlighting its need today.
Golden Research Thoughts , 2013, DOI: 10.9780/22315063
Abstract: Cognitive neuroscience is an academic field concerned with the scientific study of biological mechanisms underlying cognition, with a specific focus on the neural substrates of mental processes and their behavioral manifestations. At the cognitive level, cognitive neuroscience addresses the questions of how psychological/cognitive functions are produced by the neural circuit. A neuron is a nerve cell that is the basic building block of the nervous system. Neurons are similar to other cells in the human body is a number of ways, but there is one key difference between neurons and other cells. Neurons are specialized to transmit information throughout the body. Competency means the right way of doing things. In teaching the competency means the right way of convening the units of knowledge application and skills to the students and the knowledge of contents, methods and communication. Teacher education is the research based understanding of teacher competencies like contextual, conceptual, content, transactional and evaluative management competencies. Mirror neuron system is involved in empathy. Firing of mirror neurons will be more when we observe an action which is familiar to us. Memory can be enhanced due to the stimulation of mirror neurons. The impact of mirror neurons on class room activities and other educational activities is more to enhancing the teaching competency
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